Singing skill detection system for vocal music teaching

Abstract

The invention discloses a singing skill detection system for vocal music teaching. The singing skill detection system comprises a sound acquisition module, a throat position detection module, a characteristic signal acquisition module, a data processing module, a sound processing module, a pitch extractor, a beat extractor, an overtone feature extraction module , a note pitch and note value model construction module, a singing skill primary evaluation module, a singing skill comprehensive evaluation module, an expert decision-making module, and a central processor. The singing skill detection system completes data acquisition and evaluation during an entire singing skill detection process based on a computer system, is high in automation level, and wide in coverage. The throat position and stability, tone quality, audio penetration, overtone utilization and pronunciation retaining in singing can be detected and analyzed in one time, thereby providing a targeted training scheme.

Description

technical field [0001] The invention relates to the field of vocal music teaching, in particular to a singing skill detection system for vocal music teaching. Background technique [0002] In the teaching process of music education, the main courses include music theory, sight-singing, ear training, vocal music, instrumental music, song writing, stage performance, psychology, etc. Among them, vocal music training aims to cultivate and develop students' mastery of vocal music skills As well as the ability to use, most of the existing technologies are manually assessed by teachers, and there will be deviations to a certain extent, and many singing skills cannot be tested, such as the position of the larynx and the sound penetration. Contents of the invention [0003] In order to solve the above problems, the present invention provides a singing skill detection system for vocal music teaching, which completes the data collection and evaluation in the entire vocal skill detect...

AI Technical Summary

Problems solved by technology

[0002] In the teaching process of music education, the main courses include music theory, sight-singing, ear training, vocal music, instrumental music, song writing, stage performance, psychology, etc. Among them, vocal music training aims to cultivate and develop students' mastery of vocal music skills As well as the ability to use, most of the existing technologies are manually assessed by teachers, and there will be deviations to a certain extent, and many singing skills cannot be tested, such as the position of the larynx and the sound penetration.

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